書誌事項
- タイトル別名
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- Research on estimating state of water quality by Unmanned Surface Vehicle
説明
<p>Recently, drone technology has developed rapidly, expected to play an active part in various fields. Focusing on USV, its usefulness is increasing mainly in the coastal area, such as feeding and red tide damage countermeasures. Survey on turbidity and drifting sand phenomenon is important. Used for water quality control and beach erosion detection. Traditional methods of turbidity and drifting sand phenomenon are expensive and time-consuming. Furthermore, the beach topography changes frequently due to typhoons, etc. It is necessary to improve the efficiency of wide-area surveys. This paper proposes new water turbidity and drifting sand estimation method of coastal area using USV. Estimate turbidity by comparing underwater images of a reference point and an observation point. In addition, by separating the movement of the wave and the movement of the density, the direction and speed are calculated, and the littoral-drift estimation is performed. Experimental results have shown the effective of the underwater images area division, and temporal change of brightness.</p>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2020 (0), 2P1-N15-, 2020
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390849376475490304
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- NII論文ID
- 130007944377
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可